Turing

Remote Java/Spring software engineer jobs

We, at Turing, are looking for talented remote Java/Spring software engineers who will be responsible for building cross-platform applications using Java and Spring framework. Here's the best chance to collaborate with top industry leaders while working with top Silicon Valley companies.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Design and develop microservices using Java, Spring, and Hibernate
  • Develop cross-platform application
  • Design database schema, develop views and stored procedures
  • Participate in user story grooming, design discussions, and propose solutions
  • Practice standard development process leveraging agile methodologies such as SCRUM and TDD
  • Review and analyze business requirements and provide technical feasibility and estimates
  • Mentor junior team members, perform code reviews, technical guidance, etc.

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • 3+ years of experience in design & deployment of large-scale applications and solutions (rare exceptions for highly skilled developers)
  • Expertise in Java, Spring Framework, Spring Boot, Hibernate, JPA, Spring Security, Git, PostgreSQL, JIRA, and Bitbucket
  • Sound knowledge of object-oriented design pattern
  • Hands-on experience in REST APIs, microservices and microservices design pattern
  • Ample experience working within containerized environments like Docker and Kubernetes
  • Knowledge of Kafka, RabbitMQ, ActiveMQ, or similar event-based systems
  • Good understanding of JVM, and Java EE platforms
  • Proficiency in Java data structures, algorithms, and software design
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Understanding of DynamoDB, or any NoSQL- like MongoDB, CouchDB, etc.
  • Experience with tools like Splunk, AppDynamics, ELK, Kibana, etc.
  • Understanding of JavaScript - AngularJS, Node.js, etc.
  • Basic idea of HTML, CSS, and Bootstrap
  • Good Knowledge of RDBMS and NoSQL
  • Understanding of cloud platforms like AWS and/or Azure
  • Understanding of Agile methodologies, and SCRUM
  • Excellent organizational and communication skills

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How to become a remote Java/Spring software engineer?

Java is based on the 'write once, execute anywhere' idea. Java code that has been compiled can be utilized and run on any platform that supports Java. It's also easy to use, free, and works on various platforms. Therefore, choosing a career in java programming can lead to stable and well-paying employment opportunities. With an increasing preference for outsourcing expertise, there is also an increase in interest in remote Java/Spring software engineer jobs.

Spring Boot DevTools has a built-in H2 Console when the H2 database is used, an automated app restart when code is updated, an automatic browser refresh when JS, templates, or stylesheets are adjusted, and an automatic app restart when code is updated. A developer who understands the framework's numerous functionalities is practically guaranteed to land great remote Java/Spring software engineer jobs.

Because of the popularity of Java and Spring, the demand for Java/Spring software engineers has increased significantly. So, Java/Spring software engineer jobs are a fantastic option for developers. In the following sections, let me walk you through more details you should know before applying for Java/Spring software engineer jobs. In the following sections, I will walk you through more details you need to know before applying for remote Java/Spring software engineer jobs.

What is the scope in Java/Spring development?

Java presently leads the Android mobile app development and back-end service development pack. Many huge organizations are looking for Java/Spring software engineers, and there are countless Java career opportunities available globally.

Spring's customizable libraries are used by developers all across the world. Spring provides great experiences to millions of end-users every day, whether it's streaming TV, online shopping, or a range of other unique solutions. Spring has received contributions from all of the big tech corporations, including Alibaba, Amazon, Google, Microsoft, and others.

Are you interested in understanding more details on becoming a Java/Spring software engineer and getting remote Java/Spring software engineer jobs? We'll look at the roles and responsibilities of a Java/Spring software engineer in the next section.

What are the roles and responsibilities of a Java/Spring software engineer?

Following are some of the most important responsibilities you'll have after landing remote Java/Spring software engineer jobs.

  • Write code for projects that are clean, efficient, and reusable.
  • End-to-end web architecture planning, design, and implementation
  • To deliver high-quality goods, collaborate with cross-functional teams.
  • Analyze and optimize websites for better performance
  • Create and maintain efficient databases and applications.

How to become a Java/Spring software engineer?

Despite the fact that remote Java/Spring software engineer jobs necessitate a high level of expertise and experience, anyone with a genuine interest in the field—and the ability to complete at least some of the obligations described above for a Java/Spring software engineer—can apply.

There are various options for learning the skills required to work as a Java/Spring software engineer. You can start by going to college, which is the most common choice. A computer science degree will provide you with a strong foundation and credentials when it comes to entering the field. College is costly, and the length of time it takes to finish it is a disadvantage. Furthermore, you may not be able to attend a college that will help you obtain Java/Spring software engineer jobs if you did not receive good grades in high school.

Another alternative is to enroll in a boot camp program. The emphasis will be on teaching you the languages you'll need to apply in person or online for remote Java/Spring software engineer jobs. This could be a more affordable and time-consuming option than a three- or four-year degree.

You may rest assured that no matter which path you choose to become a remote Java/Spring software engineer, you will have a bright future ahead of you and many opportunities in remote Java/Spring software engineer jobs.

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Skills required to become a Java/Spring software engineer

Learning the required skills is the first step in landing high-paying Java/Spring software engineer jobs. Let's look at each technical skill needed to become a Java/Spring software engineer in more detail.

1. Java skills

Java/Spring software engineers work on various projects, from online applications to desktop applications, mobile apps, and cloud systems. Java's abilities also extend to Python-based Big Data projects. Software architecture and design: Software architecture and design play an important part in the software development process. As a Java/Spring software developer, you must be quick to identify and implement the proper technology stack and architecture for the application as a Java/Spring software developer. A solid understanding of software architecture will set you apart from other engineers, and it will also help you land the best remote Java/Spring software engineer jobs.

2. Spring framework 5

Spring uses explanatory notes to avoid tight coupling when classes rely on other classes and interfaces from this framework. Spring is based on the MVC framework, which provides separate business, operations, and business levels. Most developers favor the Spring framework because it is easy to use, has clean syntax, supports object injection, and includes automated testing tools like JUnit 5. So, you need to learn the Spring framework before applying for remote Java/Spring software engineer jobs.

3. Android + Kotlin

Most Java/Spring software engineers start working on mobile apps before finishing the web development phase. When it comes to designing Android apps, knowing Kotlin provides you an edge and helps you stand out from the crowd of Java/Spring engineers.

4. Unit testing

As a Java program grows in size, the amount of effort required to support and write automated tests, such as integration tests and unit tests, expands as well. Any Java application requires time to implement and assemble. This is when technologies like TestNg and JUnit come in handy. These frameworks make writing automated tests easier, provide instant feedback on passed tests, and have a straightforward syntax. JUnit encourages programmers to "test first," enhancing efficiency and codebase stability. This decreases the effort and troubleshooting time for the programmer.

5. DevOps tools

DevOps knowledge is essential as one of the top Java skills. The Java/Spring software engineer should be familiar with continuous deployment and continuous integration ideas and Jenkins' involvement in both processes. Since their responsibilities involve adopting best coding practices and producing scripts and documentation, you must be well-versed in popular DevOps tools like Kubernetes, Maven, Chef, Docker, and Jenkins to fetch remote Java/Spring software engineer jobs.

6. Tools for CI/CD pipelines

A continuous integration/continuous delivery (CI/CD) pipeline is a set of procedures for deploying a new software version. Pipelines for continuous integration and delivery (CI/CD) are a DevOps or site reliability engineering (SRE) methodology for improving software delivery. A good understanding of CI/CD is required for remote Java/Spring software engineer jobs. In a CI/CD pipeline, monitoring and automation are used to improve the application development process, particularly during the integration and testing phases and delivery and deployment. Although each stage of a CI/CD pipeline can be completed manually, the true value of CI/CD pipelines comes from automation.

7. OOP

Object-oriented programming (OOP) is a programming paradigm built on the concept of "objects," which can include both data and code in the form of fields and methods. Before beginning to code, object-oriented programming requires preparation and understanding of the program's structure. It investigates how to break down the requirements into simple, reusable classes that may be used to build object instances. Because of these benefits, the skill helps you impress recruiters during the interviews for remote Java/Spring software engineer jobs. Object-oriented programming concentrates on the things that developers want to control rather than the logic required to do so. This programming style is suitable for large, complex, and frequently updated or maintained projects. Manufacturing and design software, and mobile apps, fall under this category; for example, OOP can be used to model manufacturing systems.

Interested in remote Java/Spring Software engineer jobs?

Become a Turing developer!

Apply now

How to get remote Java/Spring software engineer jobs?

We examined the qualifications for remote Java/Spring software engineer jobs. When practicing, the most important thing to remember is to give it your best. Every day, new technological developments transform industries. As it grows more popular, more people will enter the field, increasing your competition. It won't be difficult to advance your career if you keep up with current industry trends.

Turing provides the best remote Java/Spring software engineer jobs available to help you achieve your Java/Spring software engineer goals. You'll also have the chance to refine your skills by collaborating with other brilliant engineers on complex technological problems. Join a global network of the best Java/Spring experts to find full-time, long-term remote Java/Spring software engineer jobs that pay more and allow you to grow professionally.

Why become a Java/Spring software engineer at Turing?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their Java/Spring software engineer?

At Turing, every Java/Spring software engineer is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity to grow your Java/Spring software engineer career. Our recommendations are based on our analysis of existing market conditions and the demand that we see from our customers.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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briefcase
Principal AI Engineer - US NYC

Principal AI Engineer

Location: US(NYC)- 3(WFO)

Employment Type: Full Time (Overlapping EST)

Experience Level: Staff/Principal (8–14 years)


About the Role

Turing is hiring a Staff/Principal AI Engineer to lead enterprise-scale agentic AI implementations for Fortune 500 clients. This is a hands-on engineering role focused on designing and shipping autonomous, tool-calling AI systems — agents that reason over enterprise context, invoke real systems through secure interfaces, and operate reliably at scale under strict latency, cost, and governance constraints.

You will own these systems end to end: the data pipelines feeding them, the backend services around them, the agent orchestration layer, the evaluation harness that keeps them honest, and the cloud infrastructure they run on. We are looking for engineers with genuine software engineering and data science depth who have taken agentic systems all the way to production.

What We're Looking For

Engineering foundation

  • 8–14 years of software engineering experience, with strong hands-on large-scale Python
  • Working depth in at least one systems or backend language — Go, Rust, Java, or C/C++ — and the judgment to know when to reach for it
  • Strong data structures and algorithms.
  • Strong understanding of APIs, microservices, and system design
  • Hands-on experience building and operating data pipelines and production-grade distributed systems.

Agentic AI and LLMs

  • 2+ years of hands-on LLM engineering, with at least couple agentic system you designed and took to production
  • Production experience with agent frameworks — LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent — and the fluency to move between them as the ecosystem evolves
  • Experience building MCP (Model Context Protocol) servers and tool-calling interfaces
  • RAG from first principles: chunking strategy, embeddings, vector and hybrid retrieval, reranking, and response validation
  • Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents)
  • Design of guardrails and reliability patterns — validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths

Optimization

  • Deep familiarity with token optimization and context-window management — context shaping, pruning, and compaction
  • Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls
  • Performance testing and tuning systems against defined SLOs

Evaluation

  • Experience building evaluation frameworks for LLM systems — offline eval sets, continuous online evaluation, and regression detection
  • Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc.

Cloud

  • Hands-on AWS: containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift) and orchestration (Step Functions); Azure or GCP equivalents also valued
  • Familiarity with CI/CD pipelines and DevOps practices
  • Infrastructure as code with Terraform or CloudFormation, and mature CI/CD practice

Working traits

  • Strong analytical problem-solving with a bias to ownership and urgency
  • Clear cross-team communication, working directly with client stakeholders to translate business problems into technical roadmaps
  • Able to work productively in ambiguity from system-level documentation and ramp quickly in unfamiliar codebases

Good to Have

  • Experience with managed AI platforms — Amazon Bedrock, Vertex AI, Azure AI — paired with fluency in the underlying fundamentals

Roles & Responsibilities

  • Design and build agentic systems: Lead the architecture and implementation of tool-calling agents that combine retrieval, structured reasoning, and secure action execution with least-privilege access.
  • Productionize LLM applications: Build retrieval pipelines, prompt synthesis, response validation, and self-correction loops, backed by rigorous evaluation.
  • Own the full stack: Deliver the data pipelines, backend services, distributed compute, and orchestration layer that agentic systems depend on — not only the model invocation.
  • Engineer for reliability and governance: Build validator models, adversarial test suites, and policy checks; enforce deterministic fallbacks and rollback strategies; instrument continuous evaluation.
  • Optimize for cost and latency: Drive measurable improvements in token efficiency, response time, and unit economics against defined SLOs.
  • Codebase ownership: Build, maintain, and review high-quality Python and SQL, with an emphasis on reusable components, scalability, and performance.
  • Cloud integration: Deploy AI applications on AWS, Azure, or GCP with optimized resource usage and robust CI/CD.
  • Cross-functional collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products.
  • Mentoring and technical leadership: Set engineering standards and share knowledge across the team, raising the bar on AI and software engineering practice.
Finance
10K+ employees
PythonGoRust+ 4
briefcase
Lead Edge AI & Computer Vision Engineer

Lead Edge AI & Computer Vision Engineer

  • Location: USA [with regular on-site travel required to client site]
  • Target Start Date: 1 Sep
  • Time Commitment: 8 weeks full-time
  • Experience Level: 12–15+ Years

Core Objective: Architect, benchmark, and optimize an end-to-end computer vision and low-latency execution pipeline—combining spatial geometric math with low-level C++/CUDA acceleration directly on NVIDIA Jetson embedded edge hardware (Orin NX / AGX Orin) to achieve sub-10 ms processing latency.

Key Responsibilities

  1. Model Selection & Spatial Math: Evaluate real-time detection topologies (e.g. YOLO) at 100+ FPS and build 2D perspective homography unwarping, lens undistortion, and spatial algorithms to convert pixel coordinates into physical millimeter units within tight error bounds (millimeter level accuracy).
  2. TensorRT INT8 Acceleration: Execute Post-Training Quantization to compile PyTorch/ONNX models into high-throughput TensorRT INT8/FP16 engines on Jetson Orin hardware without accuracy degradation.
  3. Zero-Copy Memory Architecture:  Engineer zero-copy memory pipelines using NVIDIA Memory Management and DMA transfers to eliminate bottlenecks.
  4. Compiled C++ Execution & I/O: Build compiled C++17 execution frameworks with multi-threaded lock-free ring buffers and non-blocking asynchronous socket communication.
  5. Nsight Profiling & Roadmapping: Instrument stage-by-stage pipeline latency using NVIDIA Nsight Systems/NVTX markers to bound tail latency, author feasibility reports, and design technical roadmaps.

Key Qualifications & Experience

  1. Full-Stack Edge AI Experience: 12–15+ years of experience bridging real-time computer vision algorithm design, spatial geometry, and low-level C++/CUDA execution on embedded edge hardware.
  2. NVIDIA Jetson Ecosystem: Deep expertise in Jetson embedded platforms (Orin NX, AGX Orin, L4T, power profiles, core pinning) and a proven track record compiling/tuning TensorRT FP16/INT8 engines via PTQ/QAT.
  3. Optical & Spatial Geometry: Expertise in 2D/3D camera calibration, perspective homography transformations, lens distortion modeling, and millimeter sizing math in industrial settings.
  4. Low-Latency Systems Engineering: Expertise in zero-copy shared memory, DMA frame buffers, lock-free queues, custom CUDA plugins, and microsecond profiling via Nsight Systems and NVTX markers.
  5. Tooling & Industrial I/O: Proficiency in C++17, Python, PyTorch, OpenCV, CUDA, non-blocking asynchronous sockets (UDP, PLC integration), and building automated dataset benchmarking harnesses.
Manufacturing
10K+ employees
C++CUDANVIDIA Omniverse+ 5
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